A Novel Hybrid System of Detecting Brain Tumors in MRI
The growth of irregular brain cells leads to a disease called brain tumor (BT). It is difficult to
predict a patient's chance of survival due to the low rate and wide range of tumor shapes …
predict a patient's chance of survival due to the low rate and wide range of tumor shapes …
Optimized Deep Learning Model for Disease Prediction in Potato Leaves
Food crops are important for nations and human survival. Potatoes are one of the most
widely used foods globally. But there are several diseases hampering potato growth and …
widely used foods globally. But there are several diseases hampering potato growth and …
[HTML][HTML] DieT Transformer model with PCA-ADE integration for advanced multi-class brain tumor classification
Early and accurate diagnosis of brain tumors is crucial to improving patient outcomes and
optimizing treatment strategies. Long-term brain injury results from aberrant proliferation of …
optimizing treatment strategies. Long-term brain injury results from aberrant proliferation of …
Enhanced MRI-based brain tumor segmentation and feature extraction using Berkeley wavelet transform and ETCCNN
DK Gokapay, SN Mohanty - Digital Health, 2024 - journals.sagepub.com
Objective Brain tumors are abnormal growths of brain cells that are typically diagnosed via
magnetic resonance imaging (MRI), which helps to discriminate between malignant and …
magnetic resonance imaging (MRI), which helps to discriminate between malignant and …
A Convolutional Neural Network Based Prediction Model for Classification of Skin Cancer Images
There has been an unprecedented rise in the cases of skin diseases since past few decades
owing to several factors. Among several skin diseases, skin cancer has also taken a steep …
owing to several factors. Among several skin diseases, skin cancer has also taken a steep …